Review of synergy between machine learning and first principles models for asset integrity management

The chemical process industry (CPI) accumulated a rich data asset through industrial 4.0. There is a strong drive to develop and utilize effective approaches for process performance prediction and improvement, process control, sensor development, asset management, etc. The synergy between machine le...

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Bibliographic Details

Published in:	Frontiers in Chemical Engineering
Main Authors:	Tianxing Cai, Jian Fang, Sharath Daida, Helen H. Lou
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-07-01
Subjects:	machine learning first principles preventive maintenance digital twin asset integrity management
Online Access:	https://www.frontiersin.org/articles/10.3389/fceng.2023.1138283/full